launch

getml.engine.launch(allow_push_notifications=True, allow_remote_ips=False, home_directory: Optional[str] = None, http_port: Optional[int] = None, in_memory=True, install=False, launch_browser=True, log=False, project_directory: Optional[str] = None, proxy_url: Optional[str] = None, token: Optional[str] = None)

Launches the getML engine.

Args:

allow_push_notifications (bool):

Whether you want to allow the getML monitor to send push notifications to your desktop.

allow_remote_ips (bool):

Whether you want to allow remote IPs to access the http-port.

home_directory (str, optional):

The directory which should be treated as the home directory by getML. getML will create a hidden folder named ‘.getML’ in said directory. All binaries will be installed there.

http_port (int, optional):

The local port of the getML monitor. This port can only be accessed from your local computer, unless you set allow_remote_ips=True.

in_memory (bool):

Whether you want the engine to process everything in memory.

install (bool)

Reinstalls getML, even if it is already installed.

launch_browser (bool):

Whether you want to automatically launch your browser.

log (bool):

Whether you want the engine log to appear in the logfile (more detailed logging). The engine log also appears in the ‘Log’ page of the monitor.

project_directory (str, optional):

The directory in which to store all of your projects.

proxy_url (str, optional):

The URL of any proxy server that that redirects to the getML monitor.

tcp_port (int, optional):

Local TCP port which serves as the communication point for the engine. This port can only be accessed from your local computer.

token (str, optional):

The token used for authentication. Authentication is required when remote IPs are allowed to access the monitor. If authentication is required and no token is passed, a random hexcode will be generated as the token.